Comprehensive elucidation of amino acid profile in human follicular fluid and plasma of<i>in vitro</i>fertilization patients

Kirsipuu, Tiina; Laks, Katrina; Velthut-Meikas, Agne; Levkov, Lev; Salumets, Andres; Palumaa, Peep

doi:10.3109/09513590.2015.1085186

Cited by 4 publications

(6 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Follicular cells transport and utilize essential and nonessential AAs (Józwik, Teng, & Battaglia, ). The concentration of AAs found in the follicular fluids of cat (Guérin et al, ), murine (Harris, Gopichandran, Picton, Leese, & Orsi, ), porcine (Hansen & Downey, ), ovine (Orsi, Gopichandran, Leese, Picton, & Harris, ), bovine (Alves, Silva, & Rubin, ; Back, Lopdell, Berg, & Green, ) and human (Jimena et al, ; Józwik et al, ; Kirsipuu, Laks, & Velthutmeikas, ) has been described. These data enhance our understanding of the cellular metabolism and nutritional environment of oocytes progressing along the reproductive tract in vivo and possibly contribute to the formulation of nutritionally accurate physiological media for oocyte maturation.…”

Section: Introductionmentioning

confidence: 99%

Amino acids profile within peripheral blood and follicular fluid based on high‐performance liquid chromatography methods may explain differences in folliculogenesis between short‐term under/over‐fed treatments during luteal phase of Hu sheep

Nie

Wang

Zhang

et al. 2018

Reprod Domestic Animals

View full text Add to dashboard Cite

The nutritional alteration of amino acids (AAs) profile in physiological fluid was poorly characterized in livestock. After oestrus synchronization, 24 ewes were randomly assigned to two groups based on the nutrient requirement recommended for maintenance (M): the feed-supplemented group (S, 1.5 × M, N = 12) and feed-restricted group (R, 0.5 × M, N = 12) on days 6-12 of their oestrous cycle, which occurred shortly before ovulation. The concentration of 30 AAs in peripheral blood (PB) and follicular fluid (FF) was quantified to calculate the PB-to-FF concentration gap for each AA and determine its correlation with metabolites and hormones in PB and FF. Results showed that the feed restriction enlarged the oestrous cycle length, decreased the number of follicles 2.5-3.5 mm, increased the number of follicles >3.5 mm and augmented the volume of follicles >2.5 mm. Nineteen AAs from PB were significantly different between the groups. The phosphoethanolamine (PEtN) and ration of essential AAs to nonessential AAs (EAA/NEAA) in FF significantly (p < 0.05) increased and decreased in the R group, respectively. Most AAs, except aspartate (Asp) and carnosine (Car) in the R group and alanine (aAla) in both groups, were significantly lower within FF than those within PB. The correlation of AAs with FSH and progesterone (P ) was more significant than that of AAs with other endocrine milieu characteristics. In conclusion, our results revealed that the influence of short-term nutritional manipulation during luteal phase on folliculogenesis might not be due to the variation of intrafollicular AAs profile but rather attribute to the peripheral blood AAs profile alteration.

show abstract

Section: Introductionmentioning

confidence: 99%

Amino acids profile within peripheral blood and follicular fluid based on high‐performance liquid chromatography methods may explain differences in folliculogenesis between short‐term under/over‐fed treatments during luteal phase of Hu sheep

Nie

Wang

Zhang

et al. 2018

Reprod Domestic Animals

View full text Add to dashboard Cite

show abstract

“…Multiple studies have successfully demonstrated the value of morphological markers in predicting in vitro outcomes, yet none has found these features to be predictive of live birth. Contrastingly, several biomarker studies have identified the predictors of pregnancy (41,42,48,50) and live birth (40,44). Thus, genomics and proteomics may minimize user subjectivity while potentially optimizing the predictive ability to predict clinical ART outcomes.…”

Section: Discussion Main Findingsmentioning

confidence: 99%

“…In the last decade, we identified 13 articles using microarray analyses, qRT-PCR, and metabolomics or proteomics to identify novel biomarkers in cumulus cells, granulosa cells, and follicular fluid as potential prognosticators of oocyte reproductive potential (40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52).…”

Section: Study Characteristicsmentioning

confidence: 99%

“…In the last decade, 7 analyses tested the predictive value of follicular fluid constituents in predicting IVF outcomes. The biomarkers of interest include peptides (47, 50-52), amino acids (42), and hormones (43,44).…”

Section: Study Characteristicsmentioning

confidence: 99%

“…One prospective study performed a comprehensive analysis of amino acid biomarkers in the follicular fluid. Kirsipuu et al (42) compared the follicular fluid amino acid profile of 96 patients undergoing IVF on the day of embryo transfer and found higher serine levels in the follicular fluid of oocytes that resulted in pregnancy than in the follicular fluid of oocytes that did not (4.00 AE 0.98 and 3.51 AE 0.90, respectively; P< .05).…”

Section: Study Characteristicsmentioning

confidence: 99%

See 2 more Smart Citations

Prognostic value of oocyte quality in assisted reproductive technology outcomes: a systematic review

et al. 2021

View full text Add to dashboard Cite

Amino Acid Profiling of Follicular Fluid in Assisted Reproduction Reveals Important Roles of Several Amino Acids in Patients with Insulin Resistance

Kurdi¹,

Lelovics²,

Hesszenberger³

et al. 2023

Preprint

View full text Add to dashboard Cite

The global prevalence of insulin resistance (IR) is increasing continuously, influencing metabolic parameters and fertility as well. The metabolic changes due to IR can alter the molecular composition of plasma and other body fluids. Follicular fluid (FF) is derived mainly from plasma, and it is a critical microenvironment for the developing oocytes. It contains various metabolites and amino acids, and the quality of the oocytes is linked at least partially to amino acid metabolism. Our goal was to determine quantitatively the amino acid (AA) profile of FF in IVF patients and to compare IR and non-insulin resistance (NIR) groups to investigate the AA changes in their FF. By UHPLC-based method we quantified the main 20 amino acids from human FF samples in the IR and NIR groups. Several amino acids (aspartate, glycine, glutamate, and cysteine) differed significantly (p&lt;0.05 or less) between the two groups. The most significant alterations between the IR and NIR groups were related to the glutathione metabolic pathway involving glycine, serine, and threonine. Since insulin resistance alters the amino acid composition of the FF, the oocytes may undergo metabolism-induced changes resulting in poor oocyte quality and less fertility in the insulin resistance groups.

show abstract

Comprehensive elucidation of amino acid profile in human follicular fluid and plasma ofin vitrofertilization patients

Cited by 4 publications

References 43 publications

Amino acids profile within peripheral blood and follicular fluid based on high‐performance liquid chromatography methods may explain differences in folliculogenesis between short‐term under/over‐fed treatments during luteal phase of Hu sheep

Amino acids profile within peripheral blood and follicular fluid based on high‐performance liquid chromatography methods may explain differences in folliculogenesis between short‐term under/over‐fed treatments during luteal phase of Hu sheep

Prognostic value of oocyte quality in assisted reproductive technology outcomes: a systematic review

Amino Acid Profiling of Follicular Fluid in Assisted Reproduction Reveals Important Roles of Several Amino Acids in Patients with Insulin Resistance

Contact Info

Product

Resources

About